Michael Hanselmann

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Fred A. HamprechtProfessor, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Bernhard RenardHasso Plattner InstituteVerified email at hpi.de
Ron M.A. HeerenMaastricht University, FOM-AMOLFVerified email at maastrichtuniversity.nl
Marc KirchnerApple, Inc.Verified email at apple.com
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Kristine GlundeThe Johns Hopkins University School of MedicineVerified email at mri.jhu.edu
Heiner MarkertETAS GmbHVerified email at de.bosch.com
Christoph SommerIST AustriaVerified email at ist.ac.at
Robert DuerichenArcturis Data, UKVerified email at arcturisdata.com
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyVerified email at kit.edu
Attila ReissBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Katharina Anna Zweig, Katharina Ann...Computer Science, TU KaiserslauternVerified email at cs.uni-kl.de
Emőke-Ágnes HorvátAssistant Professor, Northwestern UniversityVerified email at northwestern.edu
Apratim BhattacharyyaQualcomm AI ResearchVerified email at qti.qualcomm.com
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Christoph-Nikolas StraehleResearch Scientist, Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Andre GuntoroResearch ScientistVerified email at de.bosch.com
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Duy Nguyen-TuongBosch Center for AI, GermanyVerified email at robot-learning.de

Michael Hanselmann

Senior Manager (AI, Automated Driving), Robert Bosch GmbH

Verified email at de.bosch.com - Homepage

Machine Learning Artificial Intelligence Automated Driving


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Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy M Pfannmöller, H Flugge, G Benner, I Wacker, C Sommer, ... Nano letters 11 (8), 3099-3107, 2011	207	2011
CNN-based sensor fusion techniques for multimodal human activity recognition S Münzner, P Schmidt, A Reiss, M Hanselmann, R Stiefelhagen, ... ISWC '17 Proceedings of the 2017 ACM International Symposium on Wearable …, 2017	198	2017
Concise representation of mass spectrometry images by probabilistic latent semantic analysis M Hanselmann, M Kirchner, BY Renard, ER Amstalden, K Glunde, ... Analytical chemistry 80 (24), 9649-9658, 2008	127	2008
Toward digital staining using imaging mass spectrometry and random forests M Hanselmann, U Kothe, M Kirchner, BY Renard, ER Amstalden, ... Journal of proteome research 8 (7), 3558-3567, 2009	99	2009
Conditional flow variational autoencoders for structured sequence prediction A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle NeurIPS Workshop on Machine Learning for Autonomous Driving, arXiv preprint …, 2019	70	2019
One plus one makes three (for social networks) EÁ Horvát, M Hanselmann, FA Hamprecht, KA Zweig PloS one 7 (4), e34740, 2012	55	2012
SIMA: simultaneous multiple alignment of LC/MS peak lists M Hanselmann, B Voss, BY Renard, MS Lindner, U Köthe, M Kirchner, ... Bioinformatics 27 (7), 987-993, 2011	45*	2011
Mass spectrometry imaging for the investigation of intratumor heterogeneity B Balluff, M Hanselmann, RMA Heeren Advances in cancer research 134, 201-230, 2017	28	2017
Method and apparatus for supplying interpolation point data for a data-based function model calculation unit H Markert, J Schreiter, M Hanselmann US Patent 9,805,313, 2017	10	2017
Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images M Hanselmann, J Röder, U Köthe, BY Renard, RMA Heeren, ... Analytical Chemistry 85 (1), 147-155, 2013	9	2013
A Tableaux-based Mobile DL Reasoner-An Experience Report. F Müller, M Hanselmann, T Liebig, O Noppens Description Logics, 2006	7	2006
Data-based Models on the ECU R Diener, M Hanselmann, T Lang, H Markert, H Ulmer Design of experiments (DoE) in powertrain development, 2015	5	2015
Fast greedy insertion and deletion in sparse Gaussian process regression. J Schreiter, D Nguyen-Tuong, H Markert, M Hanselmann, M Toussaint ESANN, 2015	4	2015
Multivariate watershed segmentation of compositional data M Hanselmann, U Köthe, BY Renard, M Kirchner, RMA Heeren, ... Discrete Geometry for Computer Imagery: 15th IAPR International Conference …, 2009	4	2009
Model calculation unit, control unit and method for calibrating a data-based function model T Lang, H Markert, A Aue, W Fischer, U Schulmeister, N Bannow, ... US Patent 10,146,248, 2018	3	2018
You are who knows you: Predicting links between non-members of Facebook EÁ Horvát, M Hanselmann, FA Hamprecht, KA Zweig, M Kolleg European Conference on Complex Systems, 2012	3	2012
Large Scale Transient Data-based Models for the Simulation of Vehicle Power Demand J Schreiter, H Markert, M Hanselmann, D Nguyen-Tuong, C Bohne Design of experiments (DoE) in powertrain development, 2013	2	2013
Method and device for creating a data-based function model H Markert, R Diener, F Streichert, A Guntoro, M Hanselmann US Patent 9,709,967, 2017	1	2017
Method and device for creating a nonparametric, data-based function model H Markert, M Hanselmann US Patent App. 14/247,520, 2014	1	2014
Computational Methods for the Analysis of Mass Spectrometry Images M Hanselmann University of Heidelberg, 2010	1	2010

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